2009 | ||
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78 | EE | Yueguo Chen, Gang Chen, Ke Chen, Beng Chin Ooi: Efficient Processing of Warping Time Series Join of Motion Capture Data. ICDE 2009: 1048-1059 |
77 | EE | Ke Chen, Haim Kaplan, Micha Sharir: Online conflict-free coloring for halfplanes, congruent disks, and axis-parallel rectangles. ACM Transactions on Algorithms 5(2): (2009) |
76 | EE | Ke Chen, Kai Hwang, Gang Chen: Heuristic Discovery of Role-Based Trust Chains in Peer-to-Peer Networks. IEEE Trans. Parallel Distrib. Syst. 20(1): 83-96 (2009) |
75 | EE | Ke Chen, Yingfu Jiang, Li Du, Lukasz A. Kurgan: Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs. Journal of Computational Chemistry 30(1): 163-172 (2009) |
74 | EE | Yunong Zhang, Weimu Ma, Xiao-Dong Li, Hong-Zhou Tan, Ke Chen: MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs. Neurocomputing 72(7-9): 1679-1687 (2009) |
2008 | ||
73 | Qingxin Zhu, Fan Yang, Ke Chen: Optimal Search Model for Combined Strategy in Sequence Alignment. BIOCOMP 2008: 868-874 | |
72 | EE | Ke Chen, Shuai Yue, Yunong Zhang: MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Online Solution of Linear Time-Varying Matrix Equation AXB-C=0. ICIC (2) 2008: 68-75 |
71 | EE | Yunong Zhang, Zhan Li, Chenfu Yi, Ke Chen: Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization. ICIC (2) 2008: 807-814 |
70 | EE | Yunong Zhang, Xiaojiao Guo, Weimu Ma, Ke Chen, Binghuang Cai: MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion. ICNSC 2008: 1480-1485 |
69 | EE | Yunong Zhang, Zhan Li, Ke Chen, Binghuang Cai: Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations. ICNSC 2008: 832-836 |
68 | EE | Yunong Zhang, Zenghai Chen, Ke Chen, Binghuang Cai: Zhang neural network without using time-derivative information for constant and time-varying matrix inversion. IJCNN 2008: 142-146 |
67 | EE | Yunong Zhang, Zhiguo Tan, Zhi Yang, Xuanjiao Lv, Ke Chen: A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states. IJCNN 2008: 19-24 |
66 | EE | Yunong Zhang, Shuai Yue, Ke Chen, Chenfu Yi: MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving. ISNN (1) 2008: 117-127 |
65 | EE | Ke Chen: A constant factor approximation algorithm for k-median clustering with outliers. SODA 2008: 826-835 |
64 | EE | Ke Chen, Jia Wang: The Data Mining Technology Based on CIMS and its Application on Automotive Remanufacturing. WKDD 2008: 48-52 |
63 | EE | Wei Guo, Ke Chen, Jia Wang: An Empirical Study on Improving the Manufacturing Informatization Index System of China. WKDD 2008: 53-58 |
62 | EE | Tuo Zhang, Hua Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan: Accurate sequence-based prediction of catalytic residues. Bioinformatics 24(20): 2329-2338 (2008) |
61 | EE | Ke Chen, Lukasz A. Kurgan, Jishou Ruan: Prediction of protein structural class using novel evolutionary collocation-based sequence representation. Journal of Computational Chemistry 29(10): 1596-1604 (2008) |
60 | EE | Ke Chen, Sariel Har-Peled: The Euclidean Orienteering Problem Revisited. SIAM J. Comput. 38(1): 385-397 (2008) |
59 | EE | Raymond H. Chan, Ke Chen: Fast Multilevel Algorithm for a Minimization Problem in Impulse Noise Removal. SIAM J. Scientific Computing 30(3): 1474-1489 (2008) |
2007 | ||
58 | Ke Chen, Lipo Wang: Trends in Neural Computation Springer 2007 | |
57 | EE | Shuang Liang, Ke Chen, Song Jiang, Xiaodong Zhang: Cost-Aware Caching Algorithms for Distributed Storage Servers. DISC 2007: 373-387 |
56 | EE | Yunong Zhang, Ke Chen, Weimu Ma, Xiao-Dong Li: MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion. ICIC (2) 2007: 98-109 |
55 | EE | Shihai Wang, Ke Chen: Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. IJCNN 2007: 355-360 |
54 | EE | Ke Chen, Shihai Wang: Regularized Boost for Semi-Supervised Learning. NIPS 2007 |
53 | EE | Yun Yang, Ke Chen: Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering. Trends in Neural Computation 2007: 315-336 |
52 | EE | Ke Chen, Lukasz A. Kurgan: PFRES: protein fold classification by using evolutionary information and predicted secondary structure. Bioinformatics 23(21): 2843-2850 (2007) |
51 | EE | Martyn D. Hughes, Ke Chen: Efficient parallelization of the iterative solution of a coupled fluid-structure interaction problem. Concurrency and Computation: Practice and Experience 19(10): 1423-1445 (2007) |
50 | EE | Ke Chen: Fast iterative and preconditioning methods for linear and non-linear systems. Int. J. Comput. Math. 84(8): 1115 (2007) |
49 | EE | Raymond H. Chan, Ke Chen: Preconditioning and convergence in the right norm. Int. J. Comput. Math. 84(8): 1183-1198 (2007) |
48 | EE | Ke Chen, Xue-Cheng Tai: A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration. J. Sci. Comput. 33(2): 115-138 (2007) |
47 | EE | Ke Chen, Amos Fiat, Haim Kaplan, Meital Levy, Jirí Matousek, Elchanan Mossel, János Pach, Micha Sharir, Shakhar Smorodinsky, Uli Wagner, Emo Welzl: Online Conflict-Free Coloring for Intervals. SIAM J. Comput. 36(5): 1342-1359 (2007) |
2006 | ||
46 | EE | Ke Chen, Lukasz A. Kurgan, Jishou Ruan: Optimization of the Sliding Window Size for Protein Structure Prediction. CIBCB 2006: 1-7 |
45 | EE | Kanaka Durga Kedarisetti, Ke Chen, Aashima Kapoor, Lukasz A. Kurgan: Prediction of the Number of Helices for the Twilight Zone Proteins. CIBCB 2006: 1-7 |
44 | EE | Ke Chen, Gang Chen, Tianlei Hu, Jinxiang Dong: Resilient Rights Protection for Product Data. CSCWD 2006: 1015-1020 |
43 | EE | Lihua Yu, Gang Chen, Ke Chen, Jinxiang Dong: Securely Sharing Data in Encrypted Databases. CSCWD 2006: 957-962 |
42 | EE | Gang Chen, Ke Chen, Jinxiang Dong: A Database Encryption Scheme for Enhanced Security and Easy Sharing. CSCWD 2006: 995-1000 |
41 | EE | Cheng Zang, Zhongdong Huang, Ke Chen, Jinxiang Dong: An Architecture Approach to Dynamic Policy in RBAC. CSCWD (Selected Papers) 2006: 627-634 |
40 | EE | Ke Chen, Gang Chen, Cheng Zang, Jinxiang Dong: A Fractal Watermark Solution for Product Data. CSCWD (Selected Papers) 2006: 635-646 |
39 | EE | Yun Yang, Ke Chen: An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. IJCNN 2006: 3120-3127 |
38 | EE | Ke Chen: On k-Median clustering in high dimensions. SODA 2006: 1177-1185 |
37 | EE | Ke Chen, Sariel Har-Peled: The orienteering problem in the plane revisited. Symposium on Computational Geometry 2006: 247-254 |
36 | EE | Ke Chen: How to play a coloring game against a color-blind adversary. Symposium on Computational Geometry 2006: 44-51 |
2005 | ||
35 | Lipo Wang, Ke Chen, Yew-Soon Ong: Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I Springer 2005 | |
34 | Lipo Wang, Ke Chen, Yew-Soon Ong: Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II Springer 2005 | |
33 | Lipo Wang, Ke Chen, Yew-Soon Ong: Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III Springer 2005 | |
32 | EE | Ke Chen: Boosting Input/Output Hidden Markov Models for Sequence Classification. ICNC (2) 2005: 656-665 |
31 | EE | Gang Chen, Ke Chen, Tianlei Hu, Jinxiang Dong: Watermarking Abstract Tree-Structured Data. WAIM 2005: 221-232 |
30 | EE | Tianlei Hu, Gang Chen, Ke Chen, Jinxiang Dong: GARWM: Towards a Generalized and Adaptive Watermark Scheme for Relational Data. WAIM 2005: 380-391 |
29 | EE | Ke Chen, Gang Chen, Jinxiang Dong: An Immunity-Based Intrusion Detection Solution for Database Systems. WAIM 2005: 773-778 |
28 | EE | Ke Chen: Adaptive Smoothing via Contextual and Local Discontinuities. IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1552-1567 (2005) |
27 | EE | Ke Chen: On the use of different speech representations for speaker modeling. IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(3): 301-314 (2005) |
26 | EE | Joseph Savage, Ke Chen: An improved and accelerated non-linear multigrid method for total-variation denoising. Int. J. Comput. Math. 82(8): 1001-1015 (2005) |
25 | EE | Stuart C. Hawkins, Ke Chen: An Implicit Wavelet Sparse Approximate Inverse Preconditioner. SIAM J. Scientific Computing 27(2): 667-686 (2005) |
2004 | ||
24 | EE | Ke Chen: Speaker Modeling with Various Speech Representations. ICBA 2004: 592-599 |
23 | EE | Ke Chen, Sunny Yeung: Personalized News Reading via Hybrid Learning. IDEAL 2004: 607-612 |
22 | EE | Stuart C. Hawkins, Ke Chen: New wavelet preconditioner for solving boundary integral equations over nonsmooth boundaries. Int. J. Comput. Math. 81(3): 353-360 (2004) |
21 | EE | Martyn D. Hughes, Ke Chen: An efficient preconditioned iterative solver for solving a coupled fluid structure interaction problem. Int. J. Comput. Math. 81(5): 583-594 (2004) |
2003 | ||
20 | Ting-Yao Wu, Lie Lu, Ke Chen, HongJiang Zhang: Universal Background Models for Real-time Speaker Change Detection. MMM 2003: 135-149 | |
19 | EE | Judith M. Ford, Ke Chen, David J. Evans: On a Recursive Schur Preconditioner for Iterative Solution of a Class of Dense Matrix Problems. Int. J. Comput. Math. 80(1): 105-122 (2003) |
18 | EE | Judith M. Ford, Ke Chen, Neville J. Ford: Flexible parallelization of fast wavelet transforms. Parallel Algorithms Appl. 18(4): 155-169 (2003) |
17 | EE | Ke Chen: Towards better making a decision in speaker verification. Pattern Recognition 36(2): 329-346 (2003) |
2002 | ||
16 | EE | Anwar Hussein, Ke Chen, Haibin Wan: On Adapting Test Function Methods for Fast Detection of fold bifurcations in Power Systems. I. J. Bifurcation and Chaos 12(1): 179-185 (2002) |
15 | EE | Ke Chen, DeLiang L. Wang: A dynamically coupled neural oscillator network for image segmentation. Neural Networks 15(3): 423-439 (2002) |
14 | Ke Chen, Choi H. Lai: Parallel algorithms of the Purcell method for direct solution of linear systems. Parallel Computing 28(9): 1275-1291 (2002) | |
13 | EE | Ke Chen, Ting-Yao Wu, HongJiang Zhang: On the use of nearest feature line for speaker identification. Pattern Recognition Letters 23(14): 1735-1746 (2002) |
2000 | ||
12 | EE | Lan Wang, Ke Chen, Huisheng Chi: Capture Inter-Speaker Information with a Neural Network for Speaker Identification. IJCNN (5) 2000: 247-252 |
1999 | ||
11 | EE | Ke Chen, Huisheng Chi: A Modular Neural Network Architecture for Pattern Classification Based on Different Feature Sets. Int. J. Neural Syst. 9(6): 563-581 (1999) |
10 | EE | Ke Chen, Lei Xu, Huishen Chi: Improved learning algorithms for mixture of experts in multiclass classification. Neural Networks 12(9): 1229-1252 (1999) |
1998 | ||
9 | EE | Ke Chen, DeLiang L. Wang: Perceiving without Learning: From Spirals to Inside/Outside Relations. NIPS 1998: 10-16 |
8 | EE | Ke Chen, Huisheng Chi: A method of combining multiple probabilistic classifiers through soft competition on different feature sets. Neurocomputing 20(1-3): 227-252 (1998) |
7 | EE | Ke Chen: A connectionist method for pattern classification with diverse features. Pattern Recognition Letters 19(7): 545-558 (1998) |
1997 | ||
6 | Ke Chen, Lan Wang, Huisheng Chi: Methods of Combining Multiple Classifiers with Different Features and Their Applications to Text-Independent Speaker Identification. IJPRAI 11(3): 417-445 (1997) | |
5 | Ke Chen, Xiang Yu, Huisheng Chi: Combining Linear Discriminant Functions with Neural Networks for Supervised Learning. Neural Computing and Applications 6(1): 19-41 (1997) | |
4 | EE | Ke Chen, Liping Yang, Xiang Yu, Huisheng Chi: A self-generating modular neural network architecture for supervised learning. Neurocomputing 16(1): 33-48 (1997) |
1996 | ||
3 | Ke Chen, Dahong Xie, Huisheng Chi: Text-Dependent Speaker Identification Based on Input/Output HMMs: An Empirical Study. Neural Processing Letters 3(2): 81-89 (1996) | |
1994 | ||
2 | Ke Chen, Jean-Michel Henrioud: Systematic Generation of Assembly Precedence Graphs. ICRA 1994: 1476-1482 | |
1990 | ||
1 | EE | Huasheng Chen, Ke Chen: A Model-Directed Image Understanding System for Computer Vision. IEA/AIE (Vol. 1) 1990: 191-195 |